Smart cities can use the growing data available to drive the development of the city. As such, Komninos, (2006) defines smart cities as “territories with high capacity for learning and innovation, which is built-in the creativity of their population, their institutions of knowledge creation, and their digital infrastructure for communication and knowledge management” Smart city governance concerns the matter of designing decision-making structures, arrangements, and processes facilitating urban societies to deliver the value of growing data availability aligned with the policy goals of the city.
Delivering on the potential value of the data requires a digital infrastructure, obviously, and the PETRA project is aiming to provide a platform infrastructure in the field of mobility information. This infrastructure is not valuable, if it’s not fitted with an institutional design that drives long-lasting value for data users and providers and an attractive business case.
This part of the PETRA project is looking at the value created by the platform and how that is related to different ways of embedding the platform in an existing institutional setting or whether it demands changes of the institutional setting. It looks at the different potential users, the way the platform can create value for them, and how that value creation can be secured in the long run by building up the right organizational context.
It will help those wanting to maximize the smart city potential in the field of mobility to not just look at technology, understand the organizational potential and pitfalls and stay clear of these while moving towards a smart city mobility platform.
To do so, some 15 case studies are carried out, looking at the relation between an existing data platform, the data providers, the data users and their relations. These relations are mapped from the technological exchange of data, with a focus on understanding the organizational background of that exchange and how that is incentivized for the provider and the receiver of the data. This is done for both the data streams into the platform as well as the data streams out of the platform. In addition, the case studies look at the enrichment of the data in the platform, and how that is related to the (potential) goals of the platform. The cases studies are focused on mobility platforms that provide a logistical optimization potential, both in passenger transport as well as in goods transport.
Next to the case studies, the demonstrators are analyzed along the same lines but more deeply and following the whole process of development of the platform. This adds in-depth understanding of how the different governance contexts of Haifa, Venice and Rome drive the success of these mobility platforms.
The final product will be a website that contains all the lessons of the various cases and the demonstrators and supports potential smart city officials in understanding the potential and pitfalls for mobility platform development for their smart city. It also provides answers as to what options there are to change the governance in the city to facilitate mobility platform development, designing decision-making structures, arrangements, and processes building the smart mobile city.
Komninos, N.: The architecture of intelligent cities; Integrating human, collective, and artifi- cial intelligence to enhance knowledge and innovation. In: 2nd International Conference on Intelligent Environments, Institution of Engineering and Technology, Athens (2006)